An Effective Early Detection and Prediction System for Gas Leakage in Smart Environments

Abstract

Gas leakages can be catastrophic, resulting in human injuries and financial losses. If the gas leaks can be detected and predicted before time, it can significantly help prevent any hazards. This paper proposes to develop a gas leakage detection system using reliable techniques to avoid such situations. The key objective of this paper is to develop a detection and prediction method to identify gas leak situations and predict the amount of gas released and its concentration by the time of release. A sensor-based approach and the Internet of Things (IoT) are employed to find gas leaks in enclosed spaces. For tasks involving detection and prediction, deep learning methods like Long Short-Term Memory (LSTM) networks are used. For evaluation purposes, this paper also compares the suggested strategy with other state-of-art techniques. Additionally, a monitoring and alert system is developed to notify users about gas leakage and hazards. © 2023 IEEE.